Shooting method for splicing document images
A text image and shooting method technology, applied in the field of image processing, can solve problems such as missing corners, time-consuming, empty documents, etc.
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Embodiment 1
[0063] The present invention proposes a shooting method for text image splicing. The method first requires the user to keep the camera relatively far away from the document, that is, just enough to capture the entire document image, and use the entire document image as a template image, and then According to the template image, the user is prompted to take pictures of each part of the document in turn. At this time, when taking a partial image, the camera is closer, and the text image will be clearer. Each part forms a partial image, and during the shooting process It is possible to see the document area covered by the captured partial images, so as to finally ensure that all the captured partial images can cover the entire document, so that there will be no holes or missing corners in the final stitched document image.
[0064] see figure 1 , the present invention is used for the shooting method of text image splicing and specifically comprises the following steps:
[0065] ...
Embodiment 2
[0086] This embodiment discloses a shooting method for text image stitching, the method comprising:
[0087] Step 110, photographing the entire document, and the obtained entire text image is used as a document template image.
[0088] Step 120, according to the shooting prompt, take a partial image of a certain area of the document.
[0089] Step 130, performing feature matching on the captured local area image and the template text image; the method for performing feature matching on the local image and the template image includes: Step 131, determining the feature key point of interest; Step 132, extracting the area around the key point The feature vector descriptor; step 133, match each feature vector descriptor by the Euclidean distance of feature points; in step 133, the matching strategy adopts the nearest neighbor ratio matching: for the feature point matching of two images, it is necessary to search The corresponding matching point of a feature point in the image, ...
Embodiment 3
[0101] This embodiment discloses a shooting method for text image stitching, the method comprising:
[0102] Step S1, photographing the entire document, and the obtained entire text image is used as a template image.
[0103] Step S2, according to the shooting prompt, take a partial image of a certain area of the document.
[0104] Step S3, performing feature matching on the captured local area image and the template text image.
[0105] Step S4, determine whether the feature matching is successful; after the matching is successful, calculate the perspective change matrix that changes the local image to the template text image through the matching feature points obtained in step S3; calculate the inscribed matrix formed by the four vertices through the perspective change matrix rectangle.
[0106] Step S5, according to the inscribed rectangle obtained by each shooting, calculate the coverage area of the successful shooting, and judge whether all the successfully shooting...
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